Model comparison
GLM-4.5-Air vs Qwen3 8B
GLM-4.5-Air is the stronger model overall, scoring 38.7 to 33.3 on the Noometry Index.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. GLM-4.5-Air scores higher in 4 categories and Qwen3 8B in 1 category; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5-Air leads 23.3 to 16.1.
- Qwen3 8B is cheaper at $0.18 / $0.70 per million input/output tokens, against $0.20 / $1.10 for GLM-4.5-Air.
Side by side
| GLM-4.5-Air | Qwen3 8B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 38.7 | 33.3 |
| Released | 2025-07-20 | 2025-04 |
| Weights | Open | Open |
| Context window | 131K | 131K |
| Max output | 98K | 8K |
| Input $ / M tokens | $0.20 | $0.18 |
| Output $ / M tokens | $1.10 | $0.70 |
| Results tracked | 27 | 11 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-4.5-Air leads
GLM-4.5-Air: 34.5 (#225), Qwen3 8B: 33.4 (#245)
| Benchmark | GLM-4.5-Air | Qwen3 8B |
|---|---|---|
| SciCode | — | 22.6% |
| GSO | 2.9% | — |
| LMArena Coding | 1397 | — |
Agentic & Tool Use Not comparable
GLM-4.5-Air: —, Qwen3 8B: 29.9 (#71)
| Benchmark | GLM-4.5-Air | Qwen3 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 42.6% |
Reasoning GLM-4.5-Air leads
GLM-4.5-Air: 23.3 (#166), Qwen3 8B: 16.1 (#299)
| Benchmark | GLM-4.5-Air | Qwen3 8B |
|---|---|---|
| Kagi LLM Benchmark | 43% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 5% |
| LMArena Hard Prompts | 1379 | — |
| DTBench | — | 59.7% |
| LMCA | — | 8.8% |
| Epoch Capabilities Index | — | 136.17 |
| ForecastBench | 59.2 | — |
Math Too close to call
GLM-4.5-Air: 33.8 (#166), Qwen3 8B: 33.3 (#176)
| Benchmark | GLM-4.5-Air | Qwen3 8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 56.1% |
| Omni-MATH | 39.1% | — |
| LMArena Math | 1396 | — |
Knowledge Qwen3 8B leads
GLM-4.5-Air: 34.6 (#184), Qwen3 8B: 36.1 (#164)
| Benchmark | GLM-4.5-Air | Qwen3 8B |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | 4.8% |
| GPQA Diamond | — | 56.8% |
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| GPQA (HELM) | 59.4% | — |
| LMArena Expert | 1370 | — |
Multilingual Not comparable
GLM-4.5-Air: 49.4 (#130), Qwen3 8B: —
| Benchmark | GLM-4.5-Air | Qwen3 8B |
|---|---|---|
| LMArena Non-English | 1366 | — |
| LMArena Chinese | 1427 | — |
| LMArena French | 1399 | — |
| LMArena German | 1376 | — |
| LMArena Japanese | 1348 | — |
| LMArena Korean | 1306 | — |
| LMArena Russian | 1373 | — |
| LMArena Spanish | 1385 | — |
Instruction Following Not comparable
GLM-4.5-Air: 69.8 (#165), Qwen3 8B: —
| Benchmark | GLM-4.5-Air | Qwen3 8B |
|---|---|---|
| IFEval | 81.2% | — |
| LMArena Instruction Following | 1353 | — |
Long Context GLM-4.5-Air leads
GLM-4.5-Air: 41.6 (#130), Qwen3 8B: 37.8 (#205)
| Benchmark | GLM-4.5-Air | Qwen3 8B |
|---|---|---|
| Fiction.LiveBench | — | 62.1% |
| LMArena Longer Query | 1367 | — |
Writing & Preference Not comparable
GLM-4.5-Air: 56.1 (#134), Qwen3 8B: —
| Benchmark | GLM-4.5-Air | Qwen3 8B |
|---|---|---|
| LMArena Text | 1384 | — |
| LMArena Creative Writing | 1343 | — |
| WildBench | 78.9% | — |
| LMArena Multi-Turn | 1371 | — |
Frequently asked questions
Is GLM-4.5-Air better than Qwen3 8B?
GLM-4.5-Air is the stronger model overall, scoring 38.7 to 33.3 on the Noometry Index.
Which is cheaper, GLM-4.5-Air or Qwen3 8B?
Qwen3 8B is cheaper. It lists at $0.18 per million input tokens and $0.70 per million output tokens; GLM-4.5-Air lists at $0.20 and $1.10.
Is GLM-4.5-Air or Qwen3 8B better for coding?
GLM-4.5-Air scores higher on coding benchmarks: 34.5 versus 33.4 in the Noometry coding category.
Which has the bigger context window?
Both accept 131K tokens.
How many benchmarks do GLM-4.5-Air and Qwen3 8B share?
1 benchmark has published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Qwen3 8B has 11.